|
Workshop
|
Fri 8:55
|
Daniel Kuhn: From Data to Decisions: Distributionally Robust Optimization is Optimal
Daniel Kuhn
|
|
|
Workshop
|
Sat 15:10
|
Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Vitaly Feldman · Tomer Koren · Kunal Talwar
|
|
|
Workshop
|
Fri 16:45
|
Kernel and Graph Optimization for DL Model Execution
Jinwon Lee
|
|
|
Workshop
|
Sat 11:40
|
Contributed talk: What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
Praneeth Netrapalli
|
|
|
Poster
|
Thu 10:45
|
On Robustness to Adversarial Examples and Polynomial Optimization
Pranjal Awasthi · Abhratanu Dutta · Aravindan Vijayaraghavan
|
|
|
Workshop
|
Fri 8:00
|
Optimal Transport for Machine Learning
Marco Cuturi · Gabriel Peyré · Rémi Flamary · Alexandra Suvorikova
|
|
|
Poster
|
Tue 17:30
|
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
Adil Salim · Dmitry Kovalev · Peter Richtarik
|
|
|
Workshop
|
Fri 17:00
|
Second-order methods for nonconvex optimization with complexity guarantees
Stephen Wright
|
|
|
Poster
|
Tue 10:45
|
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen · Yuandong Tian
|
|
|
Poster
|
Thu 17:00
|
Solving graph compression via optimal transport
Vikas Garg · Tommi Jaakkola
|
|
|
Poster
|
Thu 17:00
|
Globally Optimal Learning for Structured Elliptical Losses
Yoav Wald · Nofar Noy · Gal Elidan · Ami Wiesel
|
|
|
Workshop
|
Sat 16:15
|
Contributed Talk 6: Zero-Shot Learning for Fast Optimization of Computation Graphs
Aditya Paliwal
|
|
